Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
For countries with an active poverty monitoring program, the World Bank—in collaboration with national institutions, other development agencies, and civil society—regularly conducts analytical work to assess the extent and causes of poverty and inequality, examine the impact of growth and public policy, and review household survey data and measurement methods. Data here includes poverty and inequality measures generated from analytical reports, from national poverty monitoring programs, and from the World Bank’s Development Research Group which has been producing internationally comparable and global poverty estimates and lines since 1990.
Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
For countries with an active poverty monitoring program, the World Bank—in collaboration with national institutions, other development agencies, and civil society—regularly conducts analytical work to assess the extent and causes of poverty and inequality, examine the impact of growth and public policy, and review household survey data and measurement methods. Data here includes poverty and inequality measures generated from analytical reports, from national poverty monitoring programs, and from the World Bank’s Development Research Group which has been producing internationally comparable and global poverty estimates and lines since 1990.
This data has been produced by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. The data provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance. It represents a consolidated evidence base and helps inform joint strategic response planning.
The Winter affected districts mapping showcases the 2021 winter affected areas to aid planning and resource mobilization is critical to get ahead of winter 2022-2023.
The map and chart below show the number of COVID-19 vaccination doses administered per 100 people within a given population. Note that this does not measure the total number of people that have been vaccinated (which is usually two doses).
The Grand Sud of Madagascar has been affected by consecutive droughts during the rainy seasons from 2019 to 2021. In 2021, 36% of the Grand Sud was classified as severe drought and 1% as extreme drought. Nearly 1.47 million people were severely food insecure (IPC 3+) and four districts – Amboasary Atsimo, Ambovombe Androy, Tsihombe and Ampanihy West – were in IPC Phase 4 (Emergency).
This dataset contains Who, What, and Where(3W) data for the Aklan Province in the Philippines. The operational presence of the various organisations (who) by sector (what), and location (where) at the province level.
This dataset contains Who, What, and Where(3W) data for the Cavite Province in the Philippines. The operational presence of the various organisations (who) by sector (what), and location (where) at the province level.
This dataset contains Who, What, and Where(3W) data for the Capiz Province in the Philippines. The operational presence of the various organisations (who) by sector (what), and location (where) at the province level.
This dataset contains Who, What, and Where(3W) data for the Camarines Sur Province in the Philippines. The operational presence of the various organisations (who) by sector (what), and location (where) at the province level.
This dataset contains Who, What, and Where(3W) data for the Biliran Province in the Philippines. The operational presence of the various organisations (who) by sector (what), and location (where) at the province level.
This dataset contains Who, What, and Where(3W) data for the Bohol Province in the Philippines. The operational presence of the various organisations (who) by sector (what), and location (where) at the province level.
This dataset contains Who, What, and Where(3W) data for the Antique Province in the Philippines. The operational presence of the various organisations (who) by sector (what), and location (where) at the province level.
This dataset contains Who, What, and Where(3W) data for the Cebu Province in the Philippines. The operational presence of the various organisations (who) by sector (what), and location (where) at the province level.
This dataset contains Who, What, and Where(3W) data for the Cotabato Province in the Philippines. The operational presence of the various organisations (who) by sector (what), and location (where) at the province level.
This dataset contains Who, What, and Where(3W) data for the Dinagat Islands Province in the Philippines. The operational presence of the various organisations (who) by sector (what), and location (where) at the province level.
This dataset contains Who, What, and Where(3W) data for the Eastern Samar Province in the Philippines. The operational presence of the various organisations (who) by sector (what), and location (where) at the province level.
This dataset contains Who, What, and Where(3W) data for the Guimaras Province in the Philippines. The operational presence of the various organisations (who) by sector (what), and location (where) at the province level.
This dataset contains Who, What, and Where(3W) data for the Iloilo Province in the Philippines. The operational presence of the various organisations (who) by sector (what), and location (where) at the province level.
This dataset contains Who, What, and Where(3W) data for the Leyte Province in the Philippines. The operational presence of the various organisations (who) by sector (what), and location (where) at the province level.